Design, build, and maintain scalable data architectures and robust processing systems.
Assemble and manage complex datasets that meet both functional and non-functional business needs.
Drive efficiency by automating manual processes and redesigning data pipelines for enhanced performance and scalability.
Develop and maintain ETL frameworks to extract data from diverse sources and ensure seamless integration into data platforms.
Collaborate closely with analytics and science teams to deliver accurate, high-quality data for modeling and analysis.
Monitor pipeline health and troubleshoot issues to ensure seamless data flow and minimal downtime.
Support steady-state operations of the data warehouse, including periodic 24x7 on-call availability as needed.
requirements-expected :
2+ years of experience in data engineering or a related field.
Solid foundation in SQL and hands-on experience with relational databases.
Familiarity with big data tools such as Hadoop or Spark, and workflow orchestration tools like Apache Nifi or Airflow.
Proficient in programming languages including Python, Java, ABAP, and SQL.
Strong analytical mindset with a meticulous approach to problem-solving.
Collaborative and communicative team player fluent in English.
offered :
Competitive pay structures that recognize both individual and company performance, along with a range of premium benefits, some of which are outlined here. The rest can be discussed over a coffee conversation:
Benefit Cafeteria offering options across education, travel, dining, culture, entertainment, sports, and recreation, tailored to individual needs.
Additional Financial Support in the event of childbirth or marriage.
Gym Card to support a healthy lifestyle.
Comprehensive Medical Care for employees and their immediate family members/partners.
And many more benefits to be discovered in person!
